Go to main contentGo to navigation menu
University of Catania  >  Medclin
Reserved Area
ITA
Logo UniCt

Degree Course in

Psychiatric Rehabilitation Techniques

Search

Alfredo Pulvirenti

Full Professor of INFORMATICS [INFO-01/A]
Contacts

Office: Città Universitaria - viale Andrea Doria, 6 - c/o Dipartimento di Matematica e Informatica - stanza 35
Email: alfredo.pulvirenti@unict.it - apulvirenti74@gmail.com
Phone: 095 7383087
Fax: +39 095.330.094
Web Site: www.dmi.unict.it/~apulvirenti/
Skype: apulvirenti

Office Hours
Thursday from 09:30 to 11:30

Personal
Date of Birth 16th of November, 1974 

Scholastic Record
I got my Laurea degree (summa cum laude, 1999), my PhD (2003), and my post-doc (2004) in Computer Science from the University of Catania. From 2005 to 2014, I've been Assistant Professor at the University of Catania.
From Decembre 2014/september 2023, associate professor of Computer Science at University of Catania.  From October 2023 is full professor  of Computer Science at University of Catania.

My research interests mainly focuses on bioinformatics and biomedicine. In particular, I study of the phenomenon of RNA interference (microRNAs and long non-coding RNAs), through stochastic and network based inference methods; the sub-graph matching and motif finding, also approximated, with applications to biological networks; the multiple network alignment through Monte Carlo Methods; the development of robust methods for the pathway-based analysis of RNA-seq data.
I also collaborate with the Istituto Nazionale di Geofisica e Vulcanologia (INGV, sezione di Catania) for the analysis of temporal time series of seismic and infrasonic signals.

I have served as PC member of many International Conferences. I have been guest editor on BMC Bioinformatics, Briefings in Bioinformatics and Information Systems Elsevier.
I also spent several periods of research at Courant Institute of Mathematical Science, NYU (NY), and at the Department of Molecular Virology, Immunology and Medical Genetics of the Comprehensive Cancer Center at The Ohio State University Wexner Medical Center (OH).

VIEW THE PUBLICATIONS
N.B. the number of publications can affect the loading time of the information
VIEW THE COURSES FROM THE A.Y. 2022/2023 TO THE PRESENT

Academic Year 2021/2022

Academic Year 2020/2021

Academic Year 2019/2020

Academic Year 2018/2019

Academic Year 2017/2018

Academic Year 2016/2017

Academic Year 2015/2016

From 2005 to 2010 has done research concering optimization problems on metric spaces and their applications in bioinformatics. My research interests mainly focuses on bioinformatics and biomedicine. In particular, I study of the phenomenon of RNA interference (microRNAs and long non-coding RNAs), through stochastic and network based inference methods; the sub-graph matching and motif finding, also approximated, with applications to biological networks; the multiple network alignment through Monte Carlo Methods; the development of robust methods for the pathway-based analysis of RNA-seq data.
Most of the research is conducted with the collaboration of colleagues from other countries: Prof. Dennis Shasha (New York University); Prof. Charles E. Lawrence (Brown University); Prof. Carlo Croce (Ohio State University); Prof. Roded Sharan (Tel Aviv University); Prof. Gary Bader (Toronto University); Prof. Carlo Catassi (Università di Ancona).

I also collaborate with the Istituto Nazionale di Geofisica e Vulcanologia (INGV, sezione di Catania) for the analysis of temporal time series of seismic and infrasonic signals.I have served as PC member of many International Conferences. I have been guest editor on BMC Bioinformatics, Briefings in Bioinformatics and Information Systems Elsevier. I also spent several periods of research at Courant Institute of Mathematical Science, NYU (NY), and at the Department of Molecular Virology, Immunology and Medical Genetics of the Comprehensive Cancer Center at The Ohio State University Wexner Medical Center (OH).

KEYWORDS:
DATA MINING -  DATA ANALYSIS - MONTECARLO ALGORITHMS - PROBABILISTIC AND STOCASTIC ALGORITHMS -  NON CODING RNA ANALYSIS -  BIOMEDICINE  GRAPH MINING -  NETWORK ANALYSIS - MACHINE LEARNING -  TIME SERIES ANALYSIS -  DRUG TARGET INTERACTION PREDICTION - DRUG COMBINATION -  RECOMMENDATION SYSTEMS AND APPLICATIONS